Altair Engineering, Inc.

Altair RapidMiner

7.4 /10

What is Altair RapidMiner?

Regardless of where your organization is on its data journey, Altair RapidMiner can help overcome the most challenging obstacles in your way. We offer a path to modernization for established data analytics teams as well as a path to automation for teams just getting started. We do this without requiring your organization to radically change your people, processes, computing environment, or existing data landscape, helping you achieve your data goals without changing who you are or what you have.

Company Details

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Awards & Recognition

Altair RapidMiner won the following awards in the Machine Learning Platforms category

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2 Top Rated Capabilities

1 Top Rated Features

2023

3 Top Rated Capabilities

2 Top Rated Features

2022

Altair RapidMiner Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Altair RapidMiner.

83 Likeliness to Recommend

94 Plan to Renew

6
Since last award

77 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

+78 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Altair RapidMiner?

5% Negative

0% Neutral

95% Positive

Pros

Respectful
Inspires Innovation
Reliable
Performance Enhancing

Cons

Commodity Features

Feature Ratings

Average 78

Explainability

Data Ingestion

Data Pre-Processing

Algorithm Diversity

Model Training

Feature Engineering

Performance and Scalability

Ensembling

Model Tuning

Data Exploration and Visualization

Model Monitoring and Management

Vendor Capability Ratings

Average 76

Ease of Data Integration

Ease of Implementation

Quality of Features

Breadth of Features

Usability and Intuitiveness

Business Value Created

Ease of IT Administration

Availability and Quality of Training

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement

Also Featured in...

Data Preparation for Analytics

Score 7.5

View Altair RapidMiner in this category (opens in a new tab)

Altair RapidMiner Reviews

Dr. Behzad S.

Role: Student Academic
Industry: Education
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2022

Fantastic UI&UX versus other tools & python coding

Likeliness to Recommend

10 /10

What differentiates Altair RapidMiner from other similar products?

It is very easy to use versus programming languages like python. It is scenario-&process-based tools versus Weka or SPSS which are task-based and you can not reuse actions or transfer to others.

What is your favorite aspect of this product?

Graphical User Interface (GUI), good tutorials and examples

What do you dislike most about this product?

I have many problems but it should be considered that other tools have the same problems like: 1- It eats RAM extraordinary, especially in parallel-enabled operators. But, as I open it, it takes more than 5 GB of RAM which is very awful. 2- Sometimes it can not release unnecessary RAM when the process is finished and I have to reopen it and lose some results. 3- It doesn't let us save the logs easily like example sets. 4- Its examples and tutorials are very simple and good, but sometimes we need a complicated process in which there are no examples and Q&A in the forums.

What recommendations would you give to someone considering this product?

It is good for learning and research but I have many problems with deployment and communicating with others. It really needs a translation plugin to python.

Pros

Trustworthy
Inspires Innovation
Respectful
Fair

Cons

Less Reliable
Less Performance Enhancing

Claude L.

Role: C-Level
Industry: Food and Beverage
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2022

Robust design of platforms with rich algorithms !

Likeliness to Recommend

10 /10

What differentiates Altair RapidMiner from other similar products?

diversity of algorithms, good GUI

What is your favorite aspect of this product?

Intuitive design and diversity of algorithms

What do you dislike most about this product?

not much. maybe can add text mining or AIimage recognition Features. after all, text and image are new sources for data science

What recommendations would you give to someone considering this product?

let team have a try on real data and how it may fit in your firm

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Bernardino B.

Role: Operations
Industry: Agriculture
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2022

Practically more insight to end results than code

Likeliness to Recommend

10 /10

What differentiates Altair RapidMiner from other similar products?

Graphical code development with interfaces to the usual Python development

What is your favorite aspect of this product?

Auto model and Data Prep

What do you dislike most about this product?

Deployment for me is not so coherent

What recommendations would you give to someone considering this product?

Be prepared to convert code based work to graphical programming method

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Altair RapidMiner

What is Altair RapidMiner?

Company Details

Need Assistance?

Awards & Recognition

Altair RapidMiner Ratings

83 Likeliness to Recommend

94 Plan to Renew

6 Since last award

77 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+78 Net Emotional Footprint

How much do users love Altair RapidMiner?

Pros

Cons

Feature Ratings Average rating of all product features, some of which may not be shown below

Explainability Ability to explain/ visualize the model.

Data Ingestion Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

Model Training Ability to train a model with a range of data sets that you provide.

Feature Engineering Ability to extract and build features from raw data.

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Ensembling 'Ability to combine ML models for best results.

Model Tuning 'Ability to fine-tune models based on monitoring feedback within the platform.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Also Featured in...

Data Preparation for Analytics

Altair RapidMiner Reviews

Dr. Behzad S.

Fantastic UI&UX versus other tools & python coding

Likeliness to Recommend

Pros

Cons

Claude L.

Robust design of platforms with rich algorithms !

Likeliness to Recommend

Pros

Bernardino B.

Practically more insight to end results than code

Likeliness to Recommend

Pros

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Feature Ratings

Explainability

Data Ingestion

Data Pre-Processing

Algorithm Diversity

Model Training

Feature Engineering

Performance and Scalability

Ensembling

Model Tuning

Data Exploration and Visualization

Model Monitoring and Management

Vendor Capability Ratings

Ease of Data Integration

Ease of Implementation

Quality of Features

Breadth of Features

Usability and Intuitiveness

Business Value Created

Ease of IT Administration

Availability and Quality of Training

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement